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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    surprising events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "surprising" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.95
    nan
    -0.87
    xia
    -0.81
    tein
    -0.80
    adian
    -0.73
    iche
    -0.71
    uv
    -0.71
    cel
    -0.68
    haps
    -0.68
    cler
    -0.68
    POSITIVE LOGITS
     surprising
    1.02
     surpr
    0.99
     surprises
    0.94
    theless
    0.82
     enough
    0.76
    aneously
    0.76
    LY
    0.75
     Jagu
    0.74
     srfAttach
    0.74
     surprise
    0.73
    Activations Density 0.010%

    No Known Activations